Case Study: a leading apparel retailer achieves near real-time data availability with Altimetrik

Leading Apparel Retailer cuts data processing time by 76% with Altimetrik

A leading apparel retailer faced significant challenges with its outdated master data management system. Slow, monolithic data processing pipelines caused severe delays, taking nearly 25 hours for new data and up to 3 hours for updates. These bottlenecks, along with high infrastructure strain and poor data visibility, hampered operational efficiency and customer experience. The company partnered with Altimetrik to modernize its data engineering architecture.

Altimetrik implemented a solution utilizing Kafka for real-time data streaming and a parallel processing architecture. This approach broke down large files, introduced advanced data validation, and deployed comprehensive telemetry dashboards for tracking. The results were substantial: a 76% improvement in overall data processing speed, achieving near real-time data availability, an 80% reduction in CPU utilization, and a 90% reduction in outbound processing time. Altimetrik's transformation significantly enhanced data quality, reliability, and scalability for the retailer.